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Use of Information Criteria in the Study of Group Differences in Trace Lines

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dc.contributor.authorKim, Seock-Ho-
dc.contributor.authorCohen, Allan S.-
dc.contributor.authorCho, Sun-Joo-
dc.contributor.authorEom, Hyo Jin-
dc.date.accessioned2021-09-01T18:24:28Z-
dc.date.available2021-09-01T18:24:28Z-
dc.date.created2021-06-18-
dc.date.issued2019-03-
dc.identifier.issn0146-6216-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/67258-
dc.description.abstractA brief review of various information criteria is presented for the detection of differential item functioning (DIF) under item response theory (IRT). An illustration of using information criteria for model selection as well as results with simulated data are presented and contrasted with the IRT likelihood ratio (LR) DIF detection method. Use of information criteria for general IRT model selection is discussed.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherSAGE PUBLICATIONS INC-
dc.subjectMAXIMUM-LIKELIHOOD-ESTIMATION-
dc.subjectMODEL SELECTION METHODS-
dc.subjectITEM RESPONSE THEORY-
dc.titleUse of Information Criteria in the Study of Group Differences in Trace Lines-
dc.typeArticle-
dc.contributor.affiliatedAuthorEom, Hyo Jin-
dc.identifier.doi10.1177/0146621618772292-
dc.identifier.scopusid2-s2.0-85047388654-
dc.identifier.wosid000458877100001-
dc.identifier.bibliographicCitationAPPLIED PSYCHOLOGICAL MEASUREMENT, v.43, no.2, pp.95 - 112-
dc.relation.isPartOfAPPLIED PSYCHOLOGICAL MEASUREMENT-
dc.citation.titleAPPLIED PSYCHOLOGICAL MEASUREMENT-
dc.citation.volume43-
dc.citation.number2-
dc.citation.startPage95-
dc.citation.endPage112-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematical Methods In Social Sciences-
dc.relation.journalResearchAreaPsychology-
dc.relation.journalWebOfScienceCategorySocial Sciences, Mathematical Methods-
dc.relation.journalWebOfScienceCategoryPsychology, Mathematical-
dc.subject.keywordPlusMAXIMUM-LIKELIHOOD-ESTIMATION-
dc.subject.keywordPlusMODEL SELECTION METHODS-
dc.subject.keywordPlusITEM RESPONSE THEORY-
dc.subject.keywordAuthorAkaike information criterion-
dc.subject.keywordAuthorBayesian information criterion-
dc.subject.keywordAuthordifferential item functioning-
dc.subject.keywordAuthorinformation criteria-
dc.subject.keywordAuthoritem response theory-
dc.subject.keywordAuthorlikelihood ratio test-
dc.subject.keywordAuthormarginal maximum likelihood estimation-
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